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Duan, Di (author), Yang, Huanqi (author), Lan, G. (author), Li, Tianxing (author), Jia, Xiaohua (author), Xu, Weitao (author)
This paper presents EMGSense, a low-effort self-supervised domain adaptation framework for sensing applications based on Electromyography (EMG). EMGSense addresses one of the fundamental challenges in EMG cross-user sensing—the significant performance degradation caused by time-varying biological heterogeneity—in a low-effort (data-efficient and...
conference paper 2023
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Li, L. (author), Bruninx, K. (author), Tindemans, Simon H. (author)
This paper proposes a multi-level segmented tariff to encourage consumers to provide demand response using a battery. The aim of the tariff is to (i) properly reflect consumers’ contribution to the distribution grid cost while ensuring cost recovery for the distribution network operator and (ii) to provide consumers with a financial incentive to...
conference paper 2023
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Li, Wenting (author), Yang, Jiahong (author), Cheng, Haibo (author), Wang, Ping (author), Liang, K. (author)
Modeling password distributions is a fundamental problem in password security, benefiting the research and applications on password guessing, password strength meters, honey password vaults, etc. As one of the best segment-based password models, WordPCFG has been proposed to capture individual semantic segments (called words) in passwords....
conference paper 2023
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Li, Yunqiang (author), van Gemert, J.C. (author), Hoefler, Torsten (author), Moons, Bert (author), Eleftheriou, Evangelos (author), Verhoef, Bram-Ernst (author)
Deep learning algorithms are increasingly employed at the edge. However, edge devices are resource constrained and thus require efficient deployment of deep neural networks. Pruning methods are a key tool for edge deployment as they can improve storage, compute, memory bandwidth, and energy usage. In this paper we propose a novel accurate...
conference paper 2023
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Li, C. (author), Hendriks, R.C. (author)
Spatial filtering techniques typically rely on estimates of the target relative transfer function (RTF). However, the target speech signal is typically corrupted by late reverberation and ambient noise, which complicates RTF estimation. Existing methods subtract the noise covariance matrix to obtain the target plus late reverberation covariance...
conference paper 2023
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Li, Jingqi (author), Chiu, Chih Yuan (author), Peters, L. (author), Palafox, Fernando (author), Karabag, Mustafa (author), Alonso-Mora, J. (author), Sojoudi, Somayeh (author), Tomlin, Claire (author), Fridovich-Keil, David (author)
Decision-making in multi-player games can be extremely challenging, particularly under uncertainty. In this work, we propose a new sample-based approximation to a class of stochastic, general-sum, pure Nash games, where each player has an expected-value objective and a set of chance constraints. This new approximation scheme inherits the...
conference paper 2023
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Li, Y. (author), Yorke-Smith, N. (author), Keviczky, T. (author)
Towards integrating renewable electricity generation sources into the grid, an important facilitator is the energy flexibility provided by buildings' thermal inertia. Most of the existing research follows a single-step price- or incentive-based scheme for unlocking the flexibility potential of buildings. In contrast, this paper proposes a...
conference paper 2023
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Li, Z. (author), Qin, Z. (author), Mirzadarani, R. (author), Ghaffarian Niasar, M. (author), Itraj, M.S. (author), Van Lieshout, Lou (author), Bauer, P. (author)
For electrolyzer applications, traditional solutions using line frequency transformers plus rectifiers are bulky, heavy and have low controllability. The Solid State Transformer (SST) could be a promising solution to solve the mentioned issues. This paper compares the semiconductor ratings and capacitance of five different Modular Multilevel...
conference paper 2023
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Ghassemian, Mona (author), Vukobratovic, Dejan (author), Papadopoulos, Christos (author), An, Xueli (author), Chatzimisios, Periklis (author), Aijaz, Adnan (author), Li, Peizheng (author), Valenzuela, Andres Meseguer (author), Venkatesha Prasad, Ranga Rao (author)
With the increasing usage of robots in numerous vertical industries, the need for standardised solutions has intensified. A number of research and industrial communities and other Standards Developing Organisations (SDOs) have been actively working to identify areas in the robotics and automation sector that are suitable for standardisation. On...
conference paper 2023
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Pöhlmann, Katharina Margareta Theresa (author), Al Taie, Ammar Jamal Said (author), Li, Gang (author), Dam, Abhraneil (author), Wang, Yu Kai (author), Wei, Chun Shu (author), Papaioannou, G. (author)
The adoption of automated vehicles will be a positive step towards road safety and environmental benefits. However, one major challenge that still exist is motion sickness. The move from drivers to passengers who will engage in non-driving related tasks as well as the potential change in the layout of the car interior that will come with...
conference paper 2023
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Goodge, Thomas (author), Li, Jingyi (author), Patel, Shiv G. (author), Gravis, Victor (author), Kim, S. (author)
In the future, automated vehicles can allow much longer journeys to be undertaken without a driver. This could involve travel across countries with different road systems, traffic rules, and regulations. Disparate cultures also have different expectations of how vehicles should behave. These need to be taken into account when designing HMIs...
conference paper 2023
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Li, Zhen (author), Chen, Zhiyuan (author), Law, Man-Kay (author), Du, S. (author), Cheng, Xu (author), Zeng, Xiaoyang (author), Han, Jun (author)
With the advent of the lnternet-of-Things (1oT) era, sensor nodes are required in almost all fields to achieve a better interaction between humans and the environment. Piezoelectric energy harvester (PEH), which exhibits an equivalent electrical model of an AC current source /P in parallel with the inherent capacitor CP, is a promising...
conference paper 2023
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Brand, Sebastiaan (author), Coopmans, T.J. (author), Elkouss Coronas, D. (author), Li, Boxi (author)
The vision of a global network that enables quantum communications between any point on Earth is known as the quantum internet. One crucial element of this network is the use of quantum repeater chains, which have the potential to overcome transmission losses and implement entanglement or quantum key distribution protocols over extended...
conference paper 2023
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Zhang, Xiaoyu (author), Li, Jianping (author), Chi, Po Wei (author), Chandrasegaran, R.S.K. (author), Ma, Kwan Liu (author)
With the most advanced natural language processing and artificial intelligence approaches, effective summarization of long and multi-topic documents - such as academic papers - for readers from different domains still remains a challenge. To address this, we introduce ConceptEVA, a mixed-initiative approach to generate, evaluate, and...
conference paper 2023
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Leibbrandt, Louise (author), Zhang, S. (author), Roelvink, M.A.T. (author), Bergkamp, Stan (author), Li, Xinqi (author), Bisschop, Lieselot (author), Wingerde, Karin van (author), Wang, H. (author)
This paper aims to understand to what extent the amount of drug (e.g., cocaine) trafficking per country can be explained and predicted using the global shipping network. We propose three distinct network approaches, based on topological centrality metrics, Susceptible-Infected-Susceptible spreading process and a flow optimization model of...
conference paper 2023
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Zeng, Y. (author), Nunez, Alfredo (author), Li, Z. (author)
Due to train load and aging, the dynamic properties of railway tracks degrade over time and deviate over space, which should be monitored to facilitate track maintenance decisions. A train-borne laser Doppler vibrometer (LDV) can directly measure track vibrations in response to the moving train load, which can be potentially applied to large...
conference paper 2023
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Zheng, Jingjing (author), Li, Kai (author), Mhaisen, N. (author), Ni, Wei (author), Tovar, Eduardo (author), Guizani, Mohsen (author)
Federated learning (FL) is increasingly considered to circumvent the disclosure of private data in mobile edge computing (MEC) systems. Training with large data can enhance FL learning accuracy, which is associated with non-negligible energy use. Scheduled edge devices with small data save energy but decrease FL learning accuracy due to a...
conference paper 2023
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Li, M. (author), Houwing, L.D. (author), Albayrak, A. (author), Shidujaman, Mohammad (author), van Eijk, D.J. (author)
Understanding humans are the key to developing optimal design solutions for product-service systems. In this sense, the experiential approach is in line but might go beyond typical Human Centered Design (HCD) methods in that it focuses on generating positive experiences that contribute directly to human well-being. Extended Reality (XR)...
conference paper 2023
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Li, C. (author), Hendriks, R.C. (author)
Estimating the parameters that describe the acoustic scene is very important for many microphone array applications. For example, consider the power spectral densities (PSDs) or relative acoustic transfer functions (RTFs) that are required when estimating a particular sound source using multi-microphone noise reduction. State-of-the-art...
conference paper 2023
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Hu, D. (author), Li, Z. (author), Fan, J. (author), Zhang, Kouchi (author)
As a critical part of speeding up industrial electrification, power electronics, and its packaging technology are undergoing rapid development. Cu nanoparticle sintering technology has therefore received extensive attention for its excellent performance in the die-attachment layer, where the mechanical properties are essential to be known for...
conference paper 2023
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